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  2. DeepFace - Wikipedia

    en.wikipedia.org/wiki/DeepFace

    DeepFace is a deep learning facial recognition system created by a research group at Facebook.It identifies human faces in digital images. The program employs a nine-layer neural network with over 120 million connection weights and was trained on four million images uploaded by Facebook users.

  3. Amazon Rekognition - Wikipedia

    en.wikipedia.org/wiki/Amazon_Rekognition

    Celebrity recognition in images [3] [4]; Facial attribute detection in images, including gender, age range, emotions (e.g. happy, calm, disgusted), whether the face has a beard or mustache, whether the face has eyeglasses or sunglasses, whether the eyes are open, whether the mouth is open, whether the person is smiling, and the location of several markers such as the pupils and jaw line.

  4. Facebook Shutting Down Controversial Facial Recognition ... - AOL

    www.aol.com/facebook-shutting-down-controversial...

    Facebook announced that it will shut down the social service’s facial-recognition system, and as part of that will delete more than 1 billion people’s individual facial-recognition templates ...

  5. SPECIAL REPORT-Rite Aid deployed facial recognition ... - AOL

    www.aol.com/finance/2020-07-28-special-report...

    Facial recognition technology has become highly controversial in the United States as its use has expanded in both the public and private sectors, including by law enforcement and retailers.

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  7. Clearview AI - Wikipedia

    en.wikipedia.org/wiki/Clearview_AI

    Clearview AI, Inc. is an American facial recognition company, providing software primarily to law enforcement and other government agencies. [2] The company's algorithm matches faces to a database of more than 20 billion images collected from the Internet, including social media applications. [1]

  8. Controversy Continues Over Planned Use of Facial Recognition ...

    www.aol.com/news/controversy-continues-over...

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  9. Facial recognition system - Wikipedia

    en.wikipedia.org/wiki/Facial_recognition_system

    A false positive happens when facial recognition technology misidentifies a person to be someone they are not, that is, it yields an incorrect positive result. They often results in discrimination and strengthening of existing biases. For example, in 2018, Delhi Police reported that its FRT system had an accuracy rate of 2%, which sank to 1% in ...